D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Business and Management D-index 59 Citations 27,307 124 World Ranking 311 National Ranking 158

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Marketing
  • Machine learning

His main research concerns Econometrics, Market segmentation, Segmentation, Service and Advertising. His Econometrics research is multidisciplinary, relying on both Latent class model, Mathematical economics, Preference and Matrix. His Market segmentation research is multidisciplinary, incorporating perspectives in Market structure, Probabilistic logic, Cluster analysis and Scanner panel data.

His Segmentation study combines topics from a wide range of disciplines, such as Structural equation modeling, Unobservable, Mixture model, Value and Industrial organization. Wagner A. Kamakura has researched Service in several fields, including Mass marketing and Cross-selling. His studies deal with areas such as Quality, Marketing and Product as well as Context.

His most cited work include:

  • Market Segmentation: Conceptual and Methodological Foundations (1597 citations)
  • Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics (1574 citations)
  • Structural Analysis of Discrete Data with Econometric Applications (1084 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Econometrics, Marketing, Segmentation, Statistics and Advertising. His Econometrics research includes elements of Probabilistic logic and Latent variable. In his study, Quality is strongly linked to Product, which falls under the umbrella field of Marketing.

He studied Segmentation and Market segmentation that intersect with Unobservable. His study in the fields of Multivariate statistics and Contingency table under the domain of Statistics overlaps with other disciplines such as Independent samples and Variable. His biological study spans a wide range of topics, including Context, Cross-selling and Database marketing.

He most often published in these fields:

  • Econometrics (28.89%)
  • Marketing (25.33%)
  • Segmentation (12.44%)

What were the highlights of his more recent work (between 2008-2020)?

  • Marketing (25.33%)
  • Sample (8.44%)
  • Econometrics (28.89%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Marketing, Sample, Econometrics, Advertising and Marketing research. His study explores the link between Marketing and topics such as Profit that cross with problems in Latent variable and Product category. Wagner A. Kamakura combines subjects such as Choice set, Unobservable and Aggregate with his study of Sample.

His Econometrics study combines topics in areas such as Binary response and Parametric statistics. The concepts of his Marketing research study are interwoven with issues in Spurious relationship, Predictive validity, Space and Consumer behaviour. Wagner A. Kamakura integrates Data mining and Automotive industry in his research.

Between 2008 and 2020, his most popular works were:

  • How Economic Contractions and Expansions Affect Expenditure Patterns (80 citations)
  • Socioeconomic status and consumption in an emerging economy (47 citations)
  • Common Methods Bias (43 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Marketing
  • Machine learning

His primary areas of investigation include Marketing, Marketing research, Econometrics, Perspective and Profit. His Marketing study frequently links to other fields, such as Advertising. His research in Marketing research intersects with topics in Social change, Development economics and Consumer behaviour.

The various areas that Wagner A. Kamakura examines in his Consumer behaviour study include Competition, Marketing science and Space. His research in Econometrics intersects with topics in Affect and Aggregate expenditure. His Profit research includes themes of Product category and Sales management.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics

Vikas Mittal;Wagner A. Kamakura.
(2001)

3869 Citations

Market Segmentation: Conceptual and Methodological Foundations

Michel Wedel;Wagner A. Kamakura.
(1997)

3359 Citations

A Probabilistic Choice Model for Market Segmentation and Elasticity Structure

Wagner A. Kamakura;Gary J. Russell.
(1989)

3202 Citations

Structural Analysis of Discrete Data with Econometric Applications

Wagner Kamakura;C. F. Manski;D. McFadden.
Journal of Marketing Research (1982)

1763 Citations

The Economic Worth of Celebrity Endorsers: An Event Study Analysis:

Jagdish Agrawal;Wagner A. Kamakura.
(1995)

1598 Citations

Measuring brand value with scanner data

Wagner A. Kamakura;Gary J. Russell.
(1993)

1145 Citations

Value-System Segmentation: Exploring the Meaning of LOV

Wagner A. Kamakura;Thomas P. Novak.
(1992)

783 Citations

Assessing the Service-Profit Chain

Wagner A. Kamakura;Vikas Mittal;Fernando de Rosa;José Afonso Mazzon.
(2002)

780 Citations

Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

Scott A . Neslin;Sunil Gupta;Wagner Kamakura;Junxiang Lu.
(2006)

751 Citations

Country of origin: A competitive advantage?

Jagdish Agrawal;Wagner A Kamakura.
(1999)

700 Citations

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